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Uncovering hidden nodes and hidden links in complex dynamic networks 期刊论文
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2024, 卷号: 67, 期号: 4, 页码: 13
作者:  Zhang, Zhaoyang;  Wang, Xinyu;  Li, Haihong;  Chen, Yang;  Qu, Zhilin;  Mi, Yuanyuan;  Hu, Gang
收藏  |  浏览/下载：6/0  |  提交时间：2024/07/03
networks and genealogical trees  stochastic analysis methods  time series analysis  
Enhancing efficiency and propulsion in bio-mimetic robotic fish through end-to-end deep reinforcement learning 期刊论文
Physics of Fluids, 2024, 卷号: 36, 期号: 3, 页码: 031910
作者:  Cui,Xinyu;  Sun,Boai;  Zhu,Yi;  Yang,Ning;  Zhang,Haifeng;  Cui,Weicheng;  Fan,Dixia;  Wang,Jun
Adobe PDF(4056Kb)  |  收藏  |  浏览/下载：68/26  |  提交时间：2024/06/02
bio-mimetic robotic fish  deep reinforcement learning  
Preformer: Simple and Efficient Design for Precipitation Nowcasting With Transformers 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:  Jin, Qizhao;  Zhang, Xinbang;  Xiao, Xinyu;  Wang, Ying;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载：65/3  |  提交时间：2024/03/26
Data mining  Precipitation nowcastin  Transformer  
Space advanced technology demonstration satellite 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2023, 页码: 19
作者:  Zhang, Xiaofeng;  Chen, Wen;  Zhu, Xiaocheng;  Meng, Na;  He, Junwang;  Bi, Xingzi;  Zhang, Yonghe;  Shi, Qi;  Li, Fei;  Liu, Rui;  Feng, Zhenggong;  Liu, Liu;  Li, Jinsong;  Wu, Haichen;  Xu, Dongxiao;  Li, Taijie;  Huang, Jiangjiang;  Liu, Shuo;  Li, Tiantong;  Yu, Xiansheng;  Gao, Yang;  Zhou, Heng;  Ban, Hanyu;  Zhang, Yanli;  Zhang, Yueting;  Yang, Yingquan;  He, Tao;  Duan, Xuliang;  Chen, Xin;  Wang, Yamin;  Sun, Antai;  Zhang, Kuoxiang;  Sun, Ying;  Wang, Yaobin;  Fan, Chengcheng;  Xiong, Shaolin;  Li, Xinqiao;  Wen, Xiangyang;  Ling, Zhixing;  Sun, Xiaojin;  Zhang, Chen;  Bai, Xianyong;  Wang, Zhanshan;  Deng, Yuanyong;  Tian, Hui;  Yang, Jianfeng;  Xue, Hongbo;  Sang, Peng;  Liu, Jinguo;  Zheng, Huilong;  Zhu, Xiang;  He, Jianwu;  Li, Hui;  Xu, Luxiang;  Xu, Shuyan;  Chen, Wenwu;  Liu, Zhendong;  Wang, Zhaoli;  Mao, Xianglong;  Gao, Rong;  Li, Zongxuan;  Ding, Guopeng;  Wang, Xinyu;  Dou, Runjiang;  Weng, Lubin;  Luo, Hao;  Wang, Yaping;  Liang, Xianfeng;  Fang, Ziruo
收藏  |  浏览/下载：133/0  |  提交时间：2024/02/22
SATech-01  spacecraft design  scientific instruments  on-orbit performance  
SpatioTemporal Inference Network for Precipitation Nowcasting With Multimodal Fusion 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 1299-1314
作者:  Jin, Qizhao;  Zhang, Xinbang;  Xiao, Xinyu;  Wang, Ying;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(8766Kb)  |  收藏  |  浏览/下载：89/8  |  提交时间：2024/02/21
Data mining  multimodal knowledge discovery  precipitation nowcasting  
Robust Multitask Learning With Sample Gradient Similarity 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10
作者:  Peng, Xinyu;  Chang, Cheng;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：115/0  |  提交时间：2023/12/21
Deep learning  Automation  multitask learning  sample gradient  sample reweighting  task reweighting  
MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams 期刊论文
NEURAL NETWORKS, 2023, 卷号: 161, 页码: 525-534
作者:  Peng, Xinyu;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：75/0  |  提交时间：2023/11/17
Deep learning  Imbalanced data streams  Sample gradient  Typical samples  Mixup  
Parallel LDPC Decoder Based on Low-Complexity Corrected Min Sum Algorithm 会议论文
, Suzhou, China, 2022-4-23
作者:  Sun, Yisong;  Li, Huan;  Zhang, Xinyu;  Guo, Chen;  Liu, Zijun;  Wang, Donglin
Adobe PDF(370Kb)  |  收藏  |  浏览/下载：300/86  |  提交时间：2022/06/14
5G  LDPC decoder  LCC-MS  UCP  
Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11
作者:  Peng, Xinyu;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：199/0  |  提交时间：2022/06/06
Training  Estimation  Deep learning  Standards  Optimization  Noise measurement  Convergence  Deep learning  generalization performance  nontypicality sampling scheme  stochastic gradient descent (SGD)  
Drill the Cork of Information Bottleneck by Inputting the Most Important Data 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Peng, Xinyu;  Zhang, Jiawei;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：225/0  |  提交时间：2022/01/27
Training  Signal to noise ratio  Mutual information  Optimization  Convergence  Deep learning  Tools  Information bottleneck (IB) theory  machine learning  minibatch stochastic gradient descent (SGD)  typicality sampling